Modeling renewable energy usage with hesitant Fuzzy cognitive map
Renewable energy sources (solar, wind, tidal, etc.), which are unlimited and have a fair distribution in the world, are an alternative to the depleting fossil fuels (coil, petroleum, natural gas, etc.). It is necessary to identify the right technologies and methods to make more effective use of rene...
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| Veröffentlicht in: | Complex & intelligent systems 2017-10, Vol.3 (3), p.155-166 |
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| creator | Çoban, Veysel Onar, Sezi Çevik |
| description | Renewable energy sources (solar, wind, tidal, etc.), which are unlimited and have a fair distribution in the world, are an alternative to the depleting fossil fuels (coil, petroleum, natural gas, etc.). It is necessary to identify the right technologies and methods to make more effective use of renewable energy sources including uncertainty and irregularity in resource creation. In this study, dynamic environmental factors affecting the production of solar and wind energy are defined and the relations among them are linguistically expressed by the experts. These linguistic relationships among factors and their initial states are assessed by new developed hesitant linguistic cognitive map method that is an extension of hesitant fuzzy sets and fuzzy cognitive map. Relational development between factors was observed by simulating the model according to the initial condition of the factors. Thus, the model helps investors and governments to direct their solar and wind energy investment decisions. |
| doi_str_mv | 10.1007/s40747-017-0043-y |
| format | Article |
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| subjects | Alternative energy sources Cognitive maps Cognitive models Coils Complexity Computational Intelligence Computer simulation Data Structures and Information Theory Energy consumption Energy resources Engineering Fossil fuels Fuzzy sets Identification methods Investment Natural gas Original Article Renewable energy sources Renewable resources Wind power |
| title | Modeling renewable energy usage with hesitant Fuzzy cognitive map |
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